Can this skill help with cloud cost management?

Yes, it provides estimated costs for recommended scaling strategies, helping you balance infrastructure performance with your budget.

What metrics does this skill monitor?

The skill focuses on core capacity metrics including CPU usage, memory allocation, database storage utilization, network bandwidth, and request rates.

Does it support both vertical and horizontal scaling?

Absolutely, the skill analyzes your specific architecture to determine whether adding more resources to existing nodes or adding more nodes is the most effective approach.

Is this skill suitable for multi-cloud environments?

Yes, it is designed to analyze infrastructure metrics regardless of the provider, making it ideal for AWS, GCP, Azure, or on-premise environments.

How does Claude analyze capacity requirements?

It evaluates current metrics like CPU, memory, and database usage against historical trends to identify patterns and predict future needs using the capacity-planning-analyzer plugin.

Capacity Planning & Performance Analyzer

Name: Capacity Planning & Performance Analyzer
Author: BbgnsurfTech

byBbgnsurfTech

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分析与监控

Analyzes infrastructure utilization metrics to forecast growth trends and recommend optimized scaling strategies for software systems.

关于

The Capacity Planning Analyzer is a comprehensive skill designed to help engineers and DevOps teams proactively manage infrastructure growth. By assessing current CPU, memory, database storage, and network bandwidth utilization, it identifies existing bottlenecks and predicts future resource requirements based on historical data. Whether you are preparing for a traffic surge or planning long-term infrastructure investments, this skill provides actionable recommendations for horizontal and vertical scaling while estimating the associated costs to ensure optimal system performance and availability.

主要功能

Comprehensive resource utilization analysis across CPU, memory, and network
Identification of latent system bottlenecks and performance risks
Actionable roadmaps for infrastructure growth and availability
Cost-aware scaling recommendations for vertical and horizontal expansion
3 GitHub stars
Growth trend forecasting based on historical performance data

使用场景

Identifying and resolving CPU bottlenecks in distributed microservices architectures
Forecasting database storage requirements to prevent downtime during high-growth periods
Developing long-term infrastructure roadmaps for budget planning and capacity expansion

关于

主要功能

Comprehensive resource utilization analysis across CPU, memory, and network
Identification of latent system bottlenecks and performance risks
Actionable roadmaps for infrastructure growth and availability
Cost-aware scaling recommendations for vertical and horizontal expansion
3 GitHub stars
Growth trend forecasting based on historical performance data

使用场景

Identifying and resolving CPU bottlenecks in distributed microservices architectures
Forecasting database storage requirements to prevent downtime during high-growth periods
Developing long-term infrastructure roadmaps for budget planning and capacity expansion